Austin, Texas, United States · On-site
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Skills: C++, Python, CUDA, PyTorch, TensorRT
Austin, Texas, United States · Hybrid
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Austin, Texas, United States · On-site
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Austin, Texas, United States · On-site
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Austin, Texas, United States · Hybrid
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Austin, Texas, United States · Hybrid
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Austin, Texas, United States · On-site
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Austin, Texas, United States · On-site
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Austin, Texas, United States · On-site
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Austin, Texas, United States · On-site
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Own the end-to-end process of deploying and optimizing machine learning models onto resource-constrained edge hardware for autonomous anti-drone systems. Design and maintain the C++ application stack for model inference, including pre- and post-processing pipelines.
Requires a degree in Computer Science or Engineering with over 10 years of software experience, including at least 2 years in embedded ML deployment. Must be proficient in C++, CUDA, and PyTorch, with practical experience in model optimization and edge runtimes.
Allen Control Systems (ACS) is a cutting-edge defense startup founded by two former Navy electrical engineers with a proven track record in robotics and software. We are developing an autonomous gun turret using advanced computer vision and control systems to precisely detect, track, and neutralize enemy drones.
With an engineering-first culture, ACS values technical excellence and innovation. Backed by our founders' successful exits from two previous venture acquired for a combined $180M in 2022, we are committed to ensuring that the groundbreaking technologies we develop will have a real-world impact.
We are hiring a Senior Embedded Machine Learning Engineer to own the end-to-end process of taking trained machine learning models including any code supporting them and deploying them efficiently onto resource-constrained edge hardware. This person sits at the intersection of machine learning, embedded systems, and hardware engineering.
The role has two tightly linked primary responsibilities: integrating, converting, and optimizing models so they run within strict constraints on latency, memory, power, and thermal budget; and building and integrating the supporting C++ code that runs the models on device and performs any necessary pre or post processing. The role is highly cross-functional. You will partner with CVML who build the models, with embedded and firmware teams who own the device, and with product teams who define performance targets. Success means models that are not just accurate in the lab but fast, small, and dependable in the field.
Development and optimization of computer vision algorithms for our autonomous gun turret, focusing on real-time drone detection, tracking, and classification.
Design and implement machine learning models that can operate in resource-constrained environments while maintaining high accuracy and reliability.
Collaborate closely with electrical engineers to integrate computer vision systems into the turret's hardware architecture.
Conduct extensive testing and validation of computer vision algorithms in various scenarios to ensure robustness and performance under different environmental conditions.
Contribute to the hardening of the prototype turret into a military-grade system, and assist in developing variants for different weapon systems and engagement ranges.
A Bachelor's or Master's Degree in Computer Science, Electrical Engineering, Computer Engineering or a related field, or equivalent practical experience.
10+ or more years of professional software or systems engineering experience, including at least 2 years focused on deploying ML models to embedded or edge devices.
Very strong proficiency in C/C++ (or Python but C++ most important)
Proficiency with CUDA
Hands-on experience with PyTorch and with at least one edge runtime or inference format (TensorFlow Lite, ONNX Runtime, TensorRT, or similar).
Practical experience with model optimization techniques such as quantization (post-training and quantization-aware), pruning, or distillation.
Demonstrated ability to profile and optimize for latency, memory, and power on constrained hardware.
Working knowledge of embedded or edge platforms (for example NVIDIA Jetson, Google Coral, Qualcomm, ARM Cortex, or comparable NPUs and SoCs) and of Linux or an RTOS.
Solid grasp of computer architecture concepts relevant to inference, including memory hierarchy, fixed-point arithmetic, and accelerator offload.
Domain experience in computer vision or sensor processing on device
Competitive salary
ACS Equity Package
Health, Dental, Vision Insurance
Paid Time Off
Allen Control Systems is an Equal Opportunity Employer, providing equal employment opportunities to all employees and applicants for employment. Allen Control Systems prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Autonomous Precision Robotics for a New Era of Warfare.
Allen Control Systems (ACS) is a robotics defense company purpose-built to deliver advanced robotic capabilities to fill modernization demands across the defense industry and national security communities. We've developed proprietary advanced hardware and software robotic weapon stations, powered by artificial intelligence and machine learning, that enable any legacy or modern weapon system to achieve precise aiming and impact. We're headquartered in Austin, TX, with an office in Alexandria, VA. If you're passionate about our mission, we’d love to hear from you.
Offices: Austin, Texas 78704, US
Based on 1495 listings with disclosed salaries, most software jobs in Austin, TX pay between $90k–$232k per year. Individual offers vary with seniority, company size, and specialization.
There are currently 2,830 open software positions in Austin, TX listed on Clera. New openings are added daily as companies post roles.
Companies currently hiring include Amazon, AMD, Apple, Oracle, Fluidstack, among others. Browse the listings above to see every active employer.
Yes — 1442 of the 2830 open software positions offer remote or hybrid work (456 remote, 986 hybrid).
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.
